END-TO-END-GENERATIVE-AI-PROJECTS
End to End Generative AI Industry Projects on LLM Models with Deployment_Awesome LLM Projects
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Decision brief
Comprehensive generative AI projects focusing on Large Language Models (LLM) frameworks and deployment.
Good fit when
- - When you need a wide range of generative AI projects focused on various LLMs such as GPT4o, Gemini, Mistral, and more.
- - For deploying LLM projects in real-world industry settings where hands-on experience with multiple tools like Chainlit, LangChain, Gradio Python LLMS is required.
Avoid when
- - Avoid if your project strictly relies on a single specific framework not covered by this array of projects such as TensorFlow or PyTorch alone.
- - Not advisable for those seeking traditional ML models without an emphasis on generative text and conversational AI capabilities.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Install
git clone https://github.com/GURPREETKAURJETHRA/END-TO-END-GENERATIVE-AI-PROJECTSHow it fits your stack(8)
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Overview
Provides comprehensive generative AI projects focusing on Large Language Model frameworks and their deployment.
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Compatibility
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Source: README excerpt (regex_v1, Aug 21, 2026)
📚ChatApp AI Agent 🤖** | Chat seamlessly with Multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB with Seamless Streamlit Deployment. Get inSource link
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README
🌟🧑💻End to End Generative AI Industry Projects on LLM Models, RAG, AI Agents, AI Chatbot, MultiModals with Deployment 👩💻🌟
| S.No | Project Name | Description | Official Repo | Tech Stack |
|---|---|---|---|---|
| 1 | Multi-PDFs 📚ChatApp AI Agent 🤖 | Chat seamlessly with Multiple PDFs using Langchain, Google Gemini Pro & FAISS Vector DB with Seamless Streamlit Deployment. Get instant, accurate responses from Awesome Google Gemini OpenSource language Model. 📚💬 Transform your PDF experience now! 🔥✨ | F/w: Langchain Model: Google Gemini Pro, Vector DB: FAISS Deployment: Streamlit | |
| 2 | 🖼️Image to Speech GenAI Tool Using LLM 🌟♨️ | AI tool that generates an Audio short story based on the context of an uploaded image by prompting a GenAI LLM model. | F/w: Langchain Model: HuggingFace Models, OpenAI GPT-3.5, Vector Deployment: Streamlit, Hugging Spaces | |
| 3 | Youtube Video Transcribe Summarizer LLM App | End To End Youtube Video Transcribe Summarizer LLM App With Google Gemini Pro providing detailed notes based on YouTube video transcripts. With the power of AI, you can now convert video transcripts into comprehensive study materials. | Google Gemini Pro | |
| 4 | End to end RAG LLM App | Step-by-Step Guide to Building a RAG LLM App with LLamA2 and LLaMAindex | LLamA2 and LLaMAindex | |
| 5 | Resume ATS Tracking LLM Project | This is a project aiming to optimize the recruitment process. It integrates an advanced Applicant Tracking System with Google Gemini Pro, streamlining resume parsing, keyword matching, and candidate evaluation for an efficient end-to-end solution in talent acquisition. | Google Gemini Pro | |
| 6 | End To End Text To SQL LLM App Along With Querying SQL Database | The "Text to SQL LLM App with Google Gemini Pro" is a software application that facilitates the conversion of natural language queries into SQL commands. It also enables querying SQL databases directly using the generated SQL commands. | Using Google Gemini Pro | |
| 7 | End To End Multi Language Invoice Extractor Project | MultiLanguage Invoice Extractor 💼✨ Discover the power of MultiLanguage Invoice Extractor! This Streamlit app, powered by Google Gemini Pro Vision AI, makes extracting information from invoice images a breeze. Upload images, add prompts, and get detailed responses effortlessly. With multi-language support. | Using Google Gemini Pro | |
| 8 | PDF Document Question Answering LLM System | Langchain,Cassandra,Astra DB,Vector Database | ||
| 9 | Fine Tune LLAMA 2 With Custom Dataset | Using LoRA And QLoRA Techniques | ||
| 10 | End to End RAG LLM App: Indexing & Querying Multiple Pdf's | Using Llamaindex and OpenAI | ||
| 11 | Real Time Financial Stock Analysis | **Using CrewAI, `Groq |
For agents
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